
agent-toolkit
Atlan AI Agent Toolkit
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Atlan Agent Toolkit
This repository contains a collection of tools and protocols for interacting with Atlan services for AI agents. Each component is designed to provide specific functionality and can be used independently or together.
Components
Model Context Protocol (MCP)
A protocol server that enables interaction with Atlan services through function calling. Provides tools for asset search, and retrieval using pyatlan.
Contributing Guidelines
We welcome contributions to the Atlan Agent Toolkit! Please follow these guidelines when submitting pull requests:
-
Create a New Branch:
- Create a new branch for your changes.
- Use a descriptive name for the branch (e.g.,
feature/add-new-tool
).
-
Make Your Changes:
- Make your changes in the new branch.
- Ensure your tools are well-defined and follow the MCP specification.
-
Submit a Pull Request:
- Push your changes to your branch.
- Create a pull request against the
main
branch. - Provide a clear description of the changes and any related issues.
- Ensure the PR passes all CI checks before requesting a review.
-
Code Quality:
- We use pre-commit hooks to maintain code quality.
- Install pre-commit in your local environment:
uv pip install pre-commit pre-commit install
- Pre-commit will automatically run checks before each commit, including:
- Code formatting with Ruff
- Trailing whitespace removal
- End-of-file fixing
- YAML and JSON validation
- Other quality checks
-
Environment Setup:
- This project uses UV for dependency management.
- Refer to the Model Context Protocol README for setup instructions.
- Python 3.11 or higher is required.
-
Documentation:
- Update documentation to reflect your changes.
- Add comments to your code where necessary.
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Reviews

user_EeV670Hy
The agent-toolkit from atlanhq is an impressive innovation! Its seamless integration and user-friendly interface make it a game-changer for managing MCP applications. I found it particularly useful in streamlining our processes, boosting efficiency, and enhancing overall productivity. Highly recommended for anyone looking to optimize their workflow!